Wydział Matematyki, Informatyki i Mechaniki Uniwersytetu Warszawskiego
Publications
Andrzej Janusz
2018
- Andrzej Piotr Janusz, Tomasz Tajmajer, Maciej Świechowski, Lukasz Grad, Jacek Puczniewski and Dominik Ślęzak, Toward an Intelligent HS Deck Advisor: Lessons Learned from AAIA'18 Data Mining Competition, in: Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018, Poznań, Poland, September 9-12, 2018., 2018, p. 189–192.see in PBN
- Andrzej Piotr Janusz, Dominik Ślęzak, Sebastian Stawicki and Krzysztof Stencel, SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players, in: 2018 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2018, Santiago, Chile, December 3-6, 2018, 2018, p. 754–757.see in PBN
- Andrzej Piotr Janusz, Sebastian Stawicki, Michal Drewniak, Krzysztof Ciebiera, Dominik Ślęzak and Krzysztof Stencel, How to Match Jobs and Candidates - A Recruitment Support System Based on Feature Engineering and Advanced Analytics, in: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part II, Springer Nature, Cham 2018, p. 503–514.see in PBN
- Andrzej Piotr Janusz and Dominik Ślęzak, Investigating Similarity between Hearthstone Cards: Text Embeddings and Interchangeability Approaches, in: Proceedings of 2018 IEEE International Conference on Systems, Man, and Cybernetics, 2018, p. 3411–3416.see in PBN
- Andrzej Piotr Janusz, Łukasz Grad and Dominik Ślęzak, Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games, in: Proceedings of IEEE International Conference on Data Mining Workshops 2018, 2018.see in PBN
- Mateusz Przyborowski, Tomasz Tajmajer, Łukasz Grad, Andrzej Piotr Janusz, Piotr Biczyk and Dominik Ślęzak, Toward Machine Learning on Granulated Data – a Case of Compact Autoencoder-based Representations of Satellite Images, in: Proceedings of 2018 IEEE International Conference on Big Data, 2018, p. 2656–2661.see in PBN
- Dominik Ślęzak, Marek Grzegorowski, Andrzej Piotr Janusz, Michał Kozielski, Sinh Hoa Nguyen, Marek Sikora, Sebastian Stawicki and Łukasz Wróbel, A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines, Information Sciences 451-452 (July) 2018, p. 112–133.see in PBN
- Maciej Świechowski, Tomasz Tajmajer and Andrzej Piotr Janusz, Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms, in: 2018 IEEE Conference on Computational Intelligence and Games, CIG 2018, Maastricht, The Netherlands, August 14-17, 2018, 2018, p. 1–8.see in PBN
2017
- Marcin Michalak, Andrzej Piotr Janusz, Marek Grzegorowski, Łukasz Wróbel, Marek Sikora and Dominik Ślęzak, Predicting seismic events in coal mines based on underground sensor measurements, Engineering Applications Of Artificial Intelligence Vol. 64 2017, p. 83–94.see in PBN
- Adam Gudyś, Andrzej Piotr Janusz, Marek Sikora, Tomasz Stęclik, Dominik Ślęzak and Łukasz Wróbel, Moduł analityczny, in: Zintegrowany, szkieletowy system wspomagania decyzji dla systemów monitorowania procesów, urządzeń i zagrożeń, Politechnika Śląska i Instytut technik Innowacyjnych EMAG, Gliwice 2017, r. 5, p. 55–75.see in PBN
- Andrzej Piotr Janusz, Marek Grzegorowski, Michał Kozielski, Zdzisław Krzystanek, Marek Sikora, Dominik Ślęzak and Łukasz Wróbel, Przykłady zastosowania systemu DISESOR w analizie i predykcji zagrożeń, in: Zintegrowany, szkieletowy system wspomagania decyzji dla systemów monitorowania procesów, urządzeń i zagrożeń, Politechnika Śląska i Instytut technik Innowacyjnych EMAG, Gliwice 2017, r. 11, p. 199–213.see in PBN
- Sebastian Stawicki, Dominik Ślęzak, Andrzej Piotr Janusz and Sebastian Widz, Decision bireducts and decision reducts - a comparison, International Journal Of Approximate Reasoning 84 2017, p. 75–109.see in PBN
- Mathurin Ach\'e, Andrzej Piotr Janusz, Kamil Zbikowski, Dominik Ślęzak, Marzena Kryszkiewicz, Henryk Rybiński and Piotr Gawrysiak, ISMIS 2017 Data Mining Competition: Trading Based on Recommendations, in: Foundations of Intelligent Systems. 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings, Springer, Cham 2017, p. 697–707.see in PBN
- Dominik Ślęzak, Marek Grzegorowski, Andrzej Piotr Janusz and Sebastian Stawicki, Toward Interactive Attribute Selection with Infolattices - A Position Paper, in: Rough Sets International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3–7, 2017, Proceedings, Part II, Springer, Cham 2017, p. 526–539.see in PBN
- Andrzej Piotr Janusz, Tomasz Tajmajer and Maciej Świechowski, Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge, in: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017, Prague, Czech Republic, September 3-6, 2017., IEEE, 2017, p. 121–125.see in PBN
- Marek Grzegorowski, Andrzej Piotr Janusz, Dominik Ślęzak and Marcin Szczuka, On the role of feature space granulation in feature selection processes, in: 2017 IEEE International Conference on Big Data (Big Data), 2017, p. 1806–1815.see in PBN
2016
- Victor Flores, Fernando Gomide, Andrzej Piotr Janusz, Claudio Meneses, Duoqian Miao, Georg Peters, Dominik Ślęzak, Guoyin Wang, Richard Weber and Yiyu Yao (eds.), Rough Sets. International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7–11, 2016, Proceedings, Springer, 2016.see in PBN
- Andrzej Piotr Janusz, Dominik Ślęzak, Marek Sikora and Łukasz Wróbel, Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge, in: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016, Gdańsk, Poland, September 11-14, 2016., 2016, p. 205–211.see in PBN
2015
- Andrzej Janusz, Sebastian Stawicki, Marcin Szczuka and Dominik Ślęzak, Rough Set Tools for Practical Data Exploration, in: Rough Sets and Knowledge Technology - 10th International Conference, RSKT 2015, Tianjin, China, November 20-23, 2015, Proceedings, Springer, Berlin/Heidelberg 2015, p. 77–86.see in PBN
- Andrzej Piotr Janusz and Dominik Ślęzak, Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold, in: Foundations of Intelligent Systems - 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings, Springer, 2015, p. 19–28.see in PBN
- Andrzej Piotr Janusz, Marek Sikora, Łukasz Wróbel, Sebastian Stawicki, Marek Grzegorowski, Piotr Wojtas and Dominik Ślęzak, Mining Data from Coal Mines: IJCRS'15 Data Challenge, in: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings, Springer, Berlin/Heidelberg 2015, p. 429–438.see in PBN
- Andrzej Piotr Janusz, Dominik Ślęzak, Sebastian Stawicki and Mariusz Rosiak, Knowledge Pit - A Data Challenge Platform, in: Proceedings of the 24th International Workshop on Concurrency, Specification and Programming, Rzeszow, Poland, September 28-30, 2015., CEUR-WS.org, 2015, p. 191–195.see in PBN
- Michał Meina, Andrzej Janusz, Krzysztof Rykaczewski, Dominik Ślęzak, Bartosz Celmer and Adam Krasuski, Tagging Firefighter Activities at the Emergency Scene: Summary of AAIA'15 Data Mining Competition at Knowledge Pit, in: 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015, \Lódź, Poland, September 13--16, 2015, 2015, p. 367–373.see in PBN
2014
- Andrzej Piotr Janusz and Dominik Ślęzak, Rough Set Methods for Attribute Clustering and Selection, Applied Artificial Intelligence 28 (3) 2014, p. 220–242.see in PBN
- Andrzej Piotr Janusz, Algorithms for Similarity Relation Learning from High Dimensional Data, Transactions On Rough Sets Xvii 17 2014, p. 174–292.see in PBN
- Lala Septem Riza, Andrzej Piotr Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Ślęzak and José Manuel Benítez, Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”, Information Sciences 287 2014, p. 68–89.see in PBN
- Wojciech Michał Świeboda, Adam Krasuski, Hung Son Nguyen and Andrzej Piotr Janusz, Interactive Method for Semantic Document Indexing Based on Explicit Semantic Analysis, Fundamenta Informaticae 132 (3) 2014, p. 423–438.see in PBN
- Andrzej Piotr Janusz and Marcin Szczuka, Assessment of data granulations in context of feature extraction problem, in: 2014 IEEE International Conference on Granular Computing, Proceedings, IEEE, 2014, p. 116–120.see in PBN
- Andrzej Piotr Janusz, Sebastian Stawicki and Hung Son Nguyen, Adaptive Learning for Improving Semantic Tagging of Scientific Articles, in: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, Warsaw, Poland, September 7-10, 2014., 2014, p. 27–34.see in PBN
- Andrzej Piotr Janusz, Adam Krasuski, Sebastian Stawicki, Mariusz Rosiak, Dominik Ślęzak and Hung Son Nguyen, Key Risk Factors for Polish State Fire Service: a Data Mining Competition at Knowledge Pit, in: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, Warsaw, Poland, September 7-10, 2014., 2014, p. 345–354.see in PBN
- Andrzej Piotr Janusz and Dominik Ślęzak, Random Probes in Computation and Assessment of Approximate Reducts, in: Rough Sets and Intelligent Systems Paradigms - Second International Conference, RSEISP 2014, Held as Part of JRS 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings, 2014, p. 53–64.see in PBN
- Łukasz Sosnowski, Andrzej Pietruszka, Adam Krasuski and Andrzej Piotr Janusz, A Resemblance Based Approach for Recognition of Risks at a Fire Ground, in: Active Media Technology - 10th International Conference, AMT 2014, Warsaw, Poland, August 11-14, 2014. Proceedings, 2014, p. 559–570.see in PBN
2013
- Andrzej Piotr Janusz, Adam Krasuski and Marcin Szczuka, Improving Semantic Clustering of EWID Reports by Using Heterogeneous Data Types, in: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 14th International Conference, RSFDGrC 2013, Halifax, NS, Canada, October 11-14, 2013. Proceedings, Springer, Berlin, Heidelberg 2013, p. 304–314.see in PBN
- Adam Krasuski and Andrzej Piotr Janusz, Semantic tagging of heterogeneous data: Labeling Fire&Rescue incidents with threats, in: Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (FedCSIS), Polskie Towarzystwo Informatyczne, Warszawa 2013, p. 77–82.see in PBN
- Marcin Szczuka and Andrzej Piotr Janusz, Semantic Clustering of Scientific Articles Using Explicit Semantic Analysis, Lecture Notes In Computer Science Transactions On Rough Sets 7736 (XVI) 2013, p. 83–102.see in PBN
2012
- Andrzej Janusz, Dynamic rule-based similarity model for DNA microarray data, in: Transactions on Rough Sets XV, Springer, Berlin 2012.see in PBN
- Andrzej Janusz, Hung Son Nguyen, Dominik Ślęzak, Sebastian Stawicki and Adam Krasuski, JRS’2012 Data Mining Competition: Topical Classification of Biomedical Research Papers, in: Rough Sets and Current Trends in Computing. 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012. Proceedings, Springer, Berlin 2012.see in PBN
- Marcin Szczuka and Andrzej Janusz, Semantic clustering of scientific articles using explicit semantic analysis, in: Transactions on Rough Sets XVI, Springer, Berlin 2012.see in PBN
- Adam Krasuski, Hung Son Nguyen, Wojciech Świeboda and Andrzej Janusz, Interactive document indexing method based on explicit semantic analysis, in: Rough Sets and Current Trends in Computing. 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012. Proceedings, Springer, Berlin 2012.see in PBN
- Andrzej Piotr Janusz, Combining multiple predictive models using genetic algorithms, Intelligent Data Analysis 16 (5) 2012, p. 763–776.see in PBN
- Andrzej Piotr Janusz, Dominik Ślęzak and Hung Son Nguyen, Unsupervised Similarity Learning from Textual Data, Fundamenta Informaticae 119 (3) 2012.see in PBN
- Andrzej Piotr Janusz and Dominik Ślęzak, Utilization of Attribute Clustering Methods for Scalable Computation of Reducts from High-Dimensional Data, in: Federated Conference on Computer Science and Information Systems - FedCSIS 2012, Wrocław, Poland, 9-12 September 2012, Proceedings, 2012, p. 295–302.see in PBN
- Karol Kurach, Krzysztof Pawłowski, Łukasz Romaszko, Marcin Tatjewski, Andrzej Janusz and Hung Son Nguyen, An Ensemble Approach to Multi-label Classification of Textual Data, in: Advanced Data Mining and Applications, Springer, Berlin 2012, p. 306–317.see in PBN
- Marcin Szczuka, Andrzej Janusz and Kamil Herba, Semantic clustering of scientific articles with use of DBpedia Knowledge Base, Computer Science (390) 2012, p. 61–76.see in PBN
- Andrzej Janusz and Dominik Ślęzak, Utilization of attribute Clustering methods for scalable computation of reducts from high-dimensional data, Computer Science And Information Systems 2012, p. 295–302.see in PBN
2011
- Andrzej Janusz and Sebastian Stawicki, Applications of approximate reducts to the feature selection problem, Lecture Notes In Computer Science 6954 2011, p. 45–50.see in PBN
- Marcin Szczuka, Andrzej Janusz and Kamil Herba, Clustering of rough set related documents with use of knowledge from DBpedia, Lecture Notes In Computer Science 6954 2011, p. 394–403.see in PBN
- Marcin Szczuka, Andrzej Janusz and Kamil Herba, Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia. Jingtao Yao, Sheela Ramanna, Guoyin Wang, Zbigniew Suraj (eds.), Lecture Notes In Computer Science 6954 2011, p. 394–403.see in PBN
- Andrzej Janusz and Dominik Ślęzak, Ensembles of bireducts: towards robust classification and simple representation, Lecture Notes In Computer Science 7105 2011, p. 64–77.see in PBN
- Dominik Ślęzak, Andrzej Janusz, Wojciech Świeboda, Hung Son Nguyen and Jan G. Bazan, Semantic analytics of PubMed content, Lecture Notes In Computer Science 7058 2011, p. 63–74.see in PBN
2010
- Andrzej Piotr Janusz, Combining Multiple Classification or Regression Models Using Genetic Algorithms, in: Proceedings of RSCTC 2010, 2010, p. 130–137.see in PBN
- Andrzej Piotr Janusz, Discovering Rules-based Similarity in Microarray Data, in: Proc. of Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2010), 2010, p. 49–58.see in PBN
- Marcin Wojnarski, Andrzej Janusz, Hung Son Nguyen, Jan G. Bazan, Chuan Jiang Luo, Ze Chen, Feng Hu, Guoyin Wang, Lihe Guan, Huan Luo, Juan Gao, Yuanxia Shen, Nikulin Vladimir, Tian-Hsiang Huang, McLachlan Geoffrey J., Matko Bošnjak and Gamberger Dragan, RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment, in: RSCTC 2010, Rough Sets and Current Trends in Computing, Springer, Heidelberg 2010, p. 4–19.see in PBN
You are not logged in | log in
